I’ve been working on a structured SQL debugging workflow for analysts and BI developers. It consists of 30 SQL checks organized into a 7-step workflow (schema validation → nulls → duplicates → joins → distribution → freshness → business logic). It also includes a demo dataset with intentional data quality issues built in so you can actually run the checks against something broken.
I’m looking for 3-5 analysts willing to run it against the demo dataset (or their own data) and tell me honestly what’s missing, what’s confusing or what doesn’t reflect how you actually debug. I genuinely want to know if this solves a real problem before I take it further.
It works with PostgreSQL, BigQuery and Snowflake. Free version is on GitHub if you want to take a look first: GitHub - mikolajburzykowski/sql-data-debugging-toolkit: Free SQL toolkit for detecting data quality issues in analytics datasets. Includes sample SQL validation checks, debugging workflow and example dataset. · GitHub
If you’re interested in testing the full version just download it for free: SQL Data Debugging Toolkit for Analysts
I’ll be glad to answer any questions you may have.